Coursera

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In this comprehensive guided project, you will learn to create and use a Computer Vision Cognitive Services resource on Microsoft Azure. Through hands-on tasks, you will gain practical experience in executing API calls and understanding the various features of Computer Vision. This project is designed to provide a solid foundation in AI and machine learning solutions within the Azure environment.

Build a Computer Vision App with Azure Cognitive Services

Learn how to create a free trial account in Microsoft Azure and log into Azure using your new subscription.

Create a Free Trial Account in Microsoft Azure

Prepare for creating a new Computer Vision resource by setting up a Resource Group.

Create a Resource Group

Set up a Computer Vision API resource to enable API calls and predictions.

Create a Computer Vision API Resource

Learn to identify the URL and key needed for API calls and access the API console.

Identify URL and Key for API Calls

Understand how API calls can be executed and interpret the results.

Execute API Calls

Understand the difference between synchronous and asynchronous API calls.

Synchronous vs Asynchronous

Explore the different APIs available in Computer Vision and their integration in applications.

Variety of APIs in Computer Vision

This guided project will teach you how to create a computer vision app using Azure Cognitive Services. Gain practical experience in AI and cloud computing, and learn to execute API calls to generate predictions.

Individuals with a background in app or software development looking to expand their skills in cloud computing and AI.

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IT professionals seeking to enhance their knowledge of Microsoft Azure and its AI capabilities.

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Build a Computer Vision App with Azure Cognitive Services

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